Overview

Dataset statistics

Number of variables20
Number of observations338592
Missing cells2788
Missing cells (%)< 0.1%
Duplicate rows309470
Duplicate rows (%)91.4%
Total size in memory51.7 MiB
Average record size in memory160.0 B

Variable types

Numeric12
Categorical8

Warnings

Dataset has 309470 (91.4%) duplicate rows Duplicates
Jyuni1 has a high cardinality: 29022 distinct values High cardinality
Jyuni2 has a high cardinality: 29023 distinct values High cardinality
LapTime14 is highly correlated with LapTime15High correlation
LapTime15 is highly correlated with LapTime14High correlation
SyogaiMileTime is highly correlated with HaronTimeS3 and 1 other fieldsHigh correlation
HaronTimeS3 is highly correlated with SyogaiMileTime and 1 other fieldsHigh correlation
HaronTimeS4 is highly correlated with SyogaiMileTime and 1 other fieldsHigh correlation
HaronTimeL3_y is highly correlated with HaronTimeL4High correlation
HaronTimeL4 is highly correlated with HaronTimeL3_yHigh correlation
Corner1 is highly correlated with Corner2 and 1 other fieldsHigh correlation
Corner2 is highly correlated with Corner1High correlation
Corner3 is highly correlated with Corner1 and 1 other fieldsHigh correlation
Syukaisu3 is highly correlated with Corner3High correlation
Syukaisu1 is highly correlated with Syukaisu2High correlation
Syukaisu2 is highly correlated with Syukaisu1High correlation
Corner2 is highly correlated with Corner1 and 1 other fieldsHigh correlation
Corner1 is highly correlated with Corner2 and 1 other fieldsHigh correlation
Corner3 is highly correlated with Corner2 and 1 other fieldsHigh correlation
LapTime14 is highly skewed (γ1 = 21.49421501) Skewed
LapTime15 is highly skewed (γ1 = 21.53415303) Skewed
LapTime16 is highly skewed (γ1 = 30.37514684) Skewed
LapTime17 is highly skewed (γ1 = 40.39765295) Skewed
LapTime18 is highly skewed (γ1 = 50.12206898) Skewed
Jyuni1 is uniformly distributed Uniform
Jyuni2 is uniformly distributed Uniform
LapTime12 has 327013 (96.6%) zeros Zeros
LapTime13 has 334607 (98.8%) zeros Zeros
LapTime14 has 337861 (99.8%) zeros Zeros
LapTime15 has 337861 (99.8%) zeros Zeros
LapTime16 has 338225 (99.9%) zeros Zeros
LapTime17 has 338384 (99.9%) zeros Zeros
LapTime18 has 338457 (> 99.9%) zeros Zeros
SyogaiMileTime has 326734 (96.5%) zeros Zeros
HaronTimeS3 has 11858 (3.5%) zeros Zeros
HaronTimeS4 has 11858 (3.5%) zeros Zeros

Reproduction

Analysis started2021-04-07 13:07:15.877349
Analysis finished2021-04-07 13:08:46.176661
Duration1 minute and 30.3 seconds
Software versionpandas-profiling v2.11.0
Download configurationconfig.yaml

Variables

LapTime12
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.175772021
Minimum0
Maximum152
Zeros327013
Zeros (%)96.6%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum152
Range152
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.22288313
Coefficient of variation (CV)5.321862166
Kurtosis24.61883053
Mean4.175772021
Median Absolute Deviation (MAD)0
Skewness5.150243682
Sum1413883
Variance493.8565347
MonotocityNot monotonic
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0327013
96.6%
118936
 
0.3%
119882
 
0.3%
120845
 
0.2%
121784
 
0.2%
123778
 
0.2%
122755
 
0.2%
117720
 
0.2%
116716
 
0.2%
115547
 
0.2%
Other values (30)4616
 
1.4%
ValueCountFrequency (%)
0327013
96.6%
1088
 
< 0.1%
1095
 
< 0.1%
11037
 
< 0.1%
111108
 
< 0.1%
ValueCountFrequency (%)
15211
 
< 0.1%
1487
 
< 0.1%
14511
 
< 0.1%
14326
< 0.1%
14231
< 0.1%

LapTime13
Real number (ℝ≥0)

ZEROS

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.445568708
Minimum0
Maximum141
Zeros334607
Zeros (%)98.8%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum141
Range141
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.25662474
Coefficient of variation (CV)9.170525527
Kurtosis80.52111396
Mean1.445568708
Median Absolute Deviation (MAD)0
Skewness9.076338245
Sum489458
Variance175.7380995
MonotocityNot monotonic
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0334607
98.8%
120427
 
0.1%
118396
 
0.1%
121367
 
0.1%
123338
 
0.1%
125324
 
0.1%
124311
 
0.1%
122278
 
0.1%
117195
 
0.1%
119161
 
< 0.1%
Other values (18)1188
 
0.4%
ValueCountFrequency (%)
0334607
98.8%
1107
 
< 0.1%
11222
 
< 0.1%
11322
 
< 0.1%
11437
 
< 0.1%
ValueCountFrequency (%)
14113
 
< 0.1%
13737
< 0.1%
1359
 
< 0.1%
13450
< 0.1%
13378
< 0.1%

LapTime14
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2554992439
Minimum0
Maximum127
Zeros337861
Zeros (%)99.8%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum127
Range127
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.496471687
Coefficient of variation (CV)21.512673
Kurtosis460.604255
Mean0.2554992439
Median Absolute Deviation (MAD)0
Skewness21.49421501
Sum86510
Variance30.21120101
MonotocityNot monotonic
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0337861
99.8%
116101
 
< 0.1%
11981
 
< 0.1%
11467
 
< 0.1%
12064
 
< 0.1%
11863
 
< 0.1%
12150
 
< 0.1%
12248
 
< 0.1%
12537
 
< 0.1%
11736
 
< 0.1%
Other values (9)184
 
0.1%
ValueCountFrequency (%)
0337861
99.8%
10716
 
< 0.1%
11122
 
< 0.1%
11217
 
< 0.1%
11320
 
< 0.1%
ValueCountFrequency (%)
12726
< 0.1%
12614
 
< 0.1%
12537
< 0.1%
12413
 
< 0.1%
12328
< 0.1%

LapTime15
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2600031897
Minimum0
Maximum139
Zeros337861
Zeros (%)99.8%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum139
Range139
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.596627834
Coefficient of variation (CV)21.5252276
Kurtosis462.9645648
Mean0.2600031897
Median Absolute Deviation (MAD)0
Skewness21.53415303
Sum88035
Variance31.32224312
MonotocityNot monotonic
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0337861
99.8%
11693
 
< 0.1%
11772
 
< 0.1%
12370
 
< 0.1%
12467
 
< 0.1%
11953
 
< 0.1%
12052
 
< 0.1%
12532
 
< 0.1%
11832
 
< 0.1%
11429
 
< 0.1%
Other values (14)231
 
0.1%
ValueCountFrequency (%)
0337861
99.8%
11013
 
< 0.1%
11111
 
< 0.1%
11224
 
< 0.1%
11316
 
< 0.1%
ValueCountFrequency (%)
13914
< 0.1%
13423
< 0.1%
13212
< 0.1%
13111
< 0.1%
1308
 
< 0.1%

LapTime16
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1304283622
Minimum0
Maximum127
Zeros338225
Zeros (%)99.9%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum127
Range127
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.961706571
Coefficient of variation (CV)30.37457885
Kurtosis921.66569
Mean0.1304283622
Median Absolute Deviation (MAD)0
Skewness30.37514684
Sum44162
Variance15.69511896
MonotocityNot monotonic
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0338225
99.9%
12061
 
< 0.1%
12251
 
< 0.1%
11542
 
< 0.1%
12535
 
< 0.1%
11933
 
< 0.1%
11732
 
< 0.1%
12629
 
< 0.1%
12428
 
< 0.1%
12715
 
< 0.1%
Other values (3)41
 
< 0.1%
ValueCountFrequency (%)
0338225
99.9%
11313
 
< 0.1%
11415
 
< 0.1%
11542
 
< 0.1%
11732
 
< 0.1%
ValueCountFrequency (%)
12715
 
< 0.1%
12629
< 0.1%
12535
< 0.1%
12428
< 0.1%
12251
< 0.1%

LapTime17
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07364911162
Minimum0
Maximum130
Zeros338384
Zeros (%)99.9%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum130
Range130
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.972711062
Coefficient of variation (CV)40.36316253
Kurtosis1632.422203
Mean0.07364911162
Median Absolute Deviation (MAD)0
Skewness40.39765295
Sum24937
Variance8.837011061
MonotocityNot monotonic
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0338384
99.9%
12536
 
< 0.1%
11926
 
< 0.1%
11825
 
< 0.1%
11425
 
< 0.1%
11721
 
< 0.1%
13015
 
< 0.1%
12113
 
< 0.1%
12013
 
< 0.1%
11513
 
< 0.1%
Other values (2)21
 
< 0.1%
ValueCountFrequency (%)
0338384
99.9%
11425
 
< 0.1%
11513
 
< 0.1%
11612
 
< 0.1%
11721
 
< 0.1%
ValueCountFrequency (%)
13015
< 0.1%
12536
< 0.1%
1249
 
< 0.1%
12113
 
< 0.1%
12013
 
< 0.1%

LapTime18
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0497649088
Minimum0
Maximum132
Zeros338457
Zeros (%)> 99.9%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum132
Range132
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.492951312
Coefficient of variation (CV)50.09456206
Kurtosis2512.610167
Mean0.0497649088
Median Absolute Deviation (MAD)0
Skewness50.12206898
Sum16850
Variance6.214806245
MonotocityNot monotonic
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0338457
> 99.9%
12439
 
< 0.1%
12638
 
< 0.1%
13214
 
< 0.1%
12913
 
< 0.1%
11913
 
< 0.1%
12110
 
< 0.1%
1188
 
< 0.1%
ValueCountFrequency (%)
0338457
> 99.9%
1188
 
< 0.1%
11913
 
< 0.1%
12110
 
< 0.1%
12439
 
< 0.1%
ValueCountFrequency (%)
13214
 
< 0.1%
12913
 
< 0.1%
12638
< 0.1%
12439
< 0.1%
12110
 
< 0.1%

SyogaiMileTime
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct111
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.38134392
Minimum0
Maximum1537
Zeros326734
Zeros (%)96.5%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1537
Range1537
Interquartile range (IQR)0

Descriptive statistics

Standard deviation269.7366053
Coefficient of variation (CV)5.249699302
Kurtosis23.61257891
Mean51.38134392
Median Absolute Deviation (MAD)0
Skewness5.060294921
Sum17397312
Variance72757.83625
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0326734
96.5%
1468373
 
0.1%
1462331
 
0.1%
1464307
 
0.1%
1458302
 
0.1%
1472298
 
0.1%
1445286
 
0.1%
1457271
 
0.1%
1455264
 
0.1%
1473259
 
0.1%
Other values (101)9167
 
2.7%
ValueCountFrequency (%)
0326734
96.5%
141813
 
< 0.1%
142011
 
< 0.1%
14215
 
< 0.1%
142340
 
< 0.1%
ValueCountFrequency (%)
153712
< 0.1%
153510
< 0.1%
153122
< 0.1%
152911
< 0.1%
152812
< 0.1%

HaronTimeS3
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct131
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean340.2031649
Minimum0
Maximum413
Zeros11858
Zeros (%)3.5%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile295
Q1343
median354
Q3365
95-th percentile380
Maximum413
Range413
Interquartile range (IQR)22

Descriptive statistics

Standard deviation67.74083451
Coefficient of variation (CV)0.1991187664
Kurtosis19.31206423
Mean340.2031649
Median Absolute Deviation (MAD)11
Skewness-4.408473186
Sum115190070
Variance4588.820661
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011858
 
3.5%
3549402
 
2.8%
3498824
 
2.6%
3538736
 
2.6%
3568623
 
2.5%
3508594
 
2.5%
3518590
 
2.5%
3488336
 
2.5%
3578282
 
2.4%
3558204
 
2.4%
Other values (121)249143
73.6%
ValueCountFrequency (%)
011858
3.5%
28212
 
< 0.1%
28415
 
< 0.1%
28511
 
< 0.1%
286151
 
< 0.1%
ValueCountFrequency (%)
41337
< 0.1%
4128
 
< 0.1%
41111
 
< 0.1%
41025
< 0.1%
40927
< 0.1%

HaronTimeS4
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct158
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459.7799771
Minimum0
Maximum563
Zeros11858
Zeros (%)3.5%
Memory size2.6 MiB

Quantile statistics

Minimum0
5-th percentile421
Q1462
median476
Q3491
95-th percentile512
Maximum563
Range563
Interquartile range (IQR)29

Descriptive statistics

Standard deviation90.42439176
Coefficient of variation (CV)0.1966688335
Kurtosis20.43311316
Mean459.7799771
Median Absolute Deviation (MAD)15
Skewness-4.568203963
Sum155677822
Variance8176.570626
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011858
 
3.5%
4726988
 
2.1%
4786630
 
2.0%
4746596
 
1.9%
4766538
 
1.9%
4776530
 
1.9%
4716506
 
1.9%
4706446
 
1.9%
4736382
 
1.9%
4696258
 
1.8%
Other values (148)267860
79.1%
ValueCountFrequency (%)
011858
3.5%
39912
 
< 0.1%
40011
 
< 0.1%
40330
 
< 0.1%
40556
 
< 0.1%
ValueCountFrequency (%)
56313
< 0.1%
5606
 
< 0.1%
55816
< 0.1%
5577
< 0.1%
55513
< 0.1%

HaronTimeL3_y
Real number (ℝ≥0)

HIGH CORRELATION

Distinct110
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.6410518
Minimum320
Maximum444
Zeros0
Zeros (%)0.0%
Memory size2.6 MiB

Quantile statistics

Minimum320
5-th percentile342
Q1353
median367
Q3379
95-th percentile394
Maximum444
Range124
Interquartile range (IQR)26

Descriptive statistics

Standard deviation16.45270134
Coefficient of variation (CV)0.04487413851
Kurtosis-0.5557437353
Mean366.6410518
Median Absolute Deviation (MAD)13
Skewness0.2015163854
Sum124141727
Variance270.6913814
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3537729
 
2.3%
3527592
 
2.2%
3737501
 
2.2%
3557345
 
2.2%
3777149
 
2.1%
3767145
 
2.1%
3747049
 
2.1%
3716976
 
2.1%
3756930
 
2.0%
3546829
 
2.0%
Other values (100)266347
78.7%
ValueCountFrequency (%)
32014
 
< 0.1%
32111
 
< 0.1%
3227
 
< 0.1%
32346
< 0.1%
32427
< 0.1%
ValueCountFrequency (%)
44411
< 0.1%
43510
 
< 0.1%
43312
< 0.1%
42927
< 0.1%
42812
< 0.1%

HaronTimeL4
Real number (ℝ≥0)

HIGH CORRELATION

Distinct142
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean488.100023
Minimum420
Maximum576
Zeros0
Zeros (%)0.0%
Memory size2.6 MiB

Quantile statistics

Minimum420
5-th percentile459
Q1472
median487
Q3503
95-th percentile522
Maximum576
Range156
Interquartile range (IQR)31

Descriptive statistics

Standard deviation19.99662895
Coefficient of variation (CV)0.04096830158
Kurtosis-0.3685461297
Mean488.100023
Median Absolute Deviation (MAD)15
Skewness0.2509365523
Sum165266763
Variance399.8651692
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4716436
 
1.9%
4776276
 
1.9%
4766181
 
1.8%
4726065
 
1.8%
4755964
 
1.8%
4695962
 
1.8%
4785937
 
1.8%
4845934
 
1.8%
4955909
 
1.7%
4815791
 
1.7%
Other values (132)278137
82.1%
ValueCountFrequency (%)
42014
 
< 0.1%
42339
< 0.1%
42420
< 0.1%
42612
 
< 0.1%
42747
< 0.1%
ValueCountFrequency (%)
57611
 
< 0.1%
57234
< 0.1%
56721
< 0.1%
56213
 
< 0.1%
56110
 
< 0.1%

Corner1
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.6 MiB
3
180141 
1
137510 
2
19547 
0
 
1394

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters338592
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3
ValueCountFrequency (%)
3180141
53.2%
1137510
40.6%
219547
 
5.8%
01394
 
0.4%
Histogram of lengths of the category
ValueCountFrequency (%)
3180141
53.2%
1137510
40.6%
219547
 
5.8%
01394
 
0.4%

Most occurring characters

ValueCountFrequency (%)
3180141
53.2%
1137510
40.6%
219547
 
5.8%
01394
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number338592
100.0%

Most frequent character per category

ValueCountFrequency (%)
3180141
53.2%
1137510
40.6%
219547
 
5.8%
01394
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common338592
100.0%

Most frequent character per script

ValueCountFrequency (%)
3180141
53.2%
1137510
40.6%
219547
 
5.8%
01394
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII338592
100.0%

Most frequent character per block

ValueCountFrequency (%)
3180141
53.2%
1137510
40.6%
219547
 
5.8%
01394
 
0.4%

Syukaisu1
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.6 MiB
1
331342 
2
 
5856
0
 
1394

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters338592
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1331342
97.9%
25856
 
1.7%
01394
 
0.4%
Histogram of lengths of the category
ValueCountFrequency (%)
1331342
97.9%
25856
 
1.7%
01394
 
0.4%

Most occurring characters

ValueCountFrequency (%)
1331342
97.9%
25856
 
1.7%
01394
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number338592
100.0%

Most frequent character per category

ValueCountFrequency (%)
1331342
97.9%
25856
 
1.7%
01394
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common338592
100.0%

Most frequent character per script

ValueCountFrequency (%)
1331342
97.9%
25856
 
1.7%
01394
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII338592
100.0%

Most frequent character per block

ValueCountFrequency (%)
1331342
97.9%
25856
 
1.7%
01394
 
0.4%

Jyuni1
Categorical

HIGH CARDINALITY
UNIFORM

Distinct29022
Distinct (%)8.6%
Missing1394
Missing (%)0.4%
Memory size2.6 MiB
3,6(4,9,12,16)(7,14,17)-(5,15)(8,10)-(13,18)(2,1,11)
 
18
(*6,13)-12(5,14)8(2,17)(16,18)-4,10(1,7)(11,15)-9,3
 
18
6,12,17(1,4)18(2,13)5(7,16)(9,8,15)(11,14)3,10
 
18
2,5,6(3,11)10(1,12)(8,14)(7,13)(4,9,16)(15,17,18)
 
18
(*3,4)11(9,14)12(5,10,18)(15,16)-(13,7)17,6-2=1=8
 
18
Other values (29017)
337108 

Length

Max length56
Median length40
Mean length38.32565436
Min length9

Characters and Unicode

Total characters12923334
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row(*16,6)(1,9)(2,8,12)(5,14,15)-(3,4)10(7,11)13
2nd row(*8,9)(1,12,13)5(4,14)(7,11)10(2,6)-3
3rd row8,6(1,7)-(2,4)-9(5,3)
4th row17,11(12,13)18(8,10)(5,7)2(3,9,16)(1,14,15)-6,4
5th row(*16,6)(1,9)(2,8,12)(5,14,15)-(3,4)10(7,11)13
ValueCountFrequency (%)
3,6(4,9,12,16)(7,14,17)-(5,15)(8,10)-(13,18)(2,1,11)18
 
< 0.1%
(*6,13)-12(5,14)8(2,17)(16,18)-4,10(1,7)(11,15)-9,318
 
< 0.1%
6,12,17(1,4)18(2,13)5(7,16)(9,8,15)(11,14)3,1018
 
< 0.1%
2,5,6(3,11)10(1,12)(8,14)(7,13)(4,9,16)(15,17,18)18
 
< 0.1%
(*3,4)11(9,14)12(5,10,18)(15,16)-(13,7)17,6-2=1=818
 
< 0.1%
1,5(3,8,9)6(11,13)(2,10)(17,16)12(14,18)(4,7)-1518
 
< 0.1%
10,8(9,12)(6,14)(5,11,16)(3,13,18)(1,17)(2,7,15)-418
 
< 0.1%
15,14(10,16)7(2,12)(6,13)(8,11)(9,17,18)(1,5,4)318
 
< 0.1%
11,14(4,6)16,7(5,15)(9,18)(2,10,13)(1,8,17)-3 1218
 
< 0.1%
6,18=16(12,14)(3,8,13)(10,15)(5,17)11(1,4)(7,9)-218
 
< 0.1%
Other values (29012)337018
99.5%
(Missing)1394
 
0.4%
Histogram of lengths of the category
ValueCountFrequency (%)
11634
 
0.5%
71603
 
0.4%
91580
 
0.4%
111521
 
0.4%
31498
 
0.4%
21443
 
0.4%
81421
 
0.4%
61368
 
0.4%
101368
 
0.4%
51355
 
0.4%
Other values (29133)345809
95.9%

Most occurring characters

ValueCountFrequency (%)
12636282
20.4%
,2413245
18.7%
(1390072
10.8%
)1390072
10.8%
2636980
 
4.9%
3617675
 
4.8%
4596219
 
4.6%
5564112
 
4.4%
6530418
 
4.1%
-494718
 
3.8%
Other values (7)1653541
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6997001
54.1%
Other Punctuation2522765
 
19.5%
Open Punctuation1390072
 
10.8%
Close Punctuation1390072
 
10.8%
Dash Punctuation494718
 
3.8%
Space Separator70206
 
0.5%
Math Symbol58500
 
0.5%

Most frequent character per category

ValueCountFrequency (%)
12636282
37.7%
2636980
 
9.1%
3617675
 
8.8%
4596219
 
8.5%
5564112
 
8.1%
6530418
 
7.6%
7382919
 
5.5%
8374733
 
5.4%
9332260
 
4.7%
0325403
 
4.7%
ValueCountFrequency (%)
,2413245
95.7%
*109520
 
4.3%
ValueCountFrequency (%)
(1390072
100.0%
ValueCountFrequency (%)
)1390072
100.0%
ValueCountFrequency (%)
-494718
100.0%
ValueCountFrequency (%)
70206
100.0%
ValueCountFrequency (%)
=58500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common12923334
100.0%

Most frequent character per script

ValueCountFrequency (%)
12636282
20.4%
,2413245
18.7%
(1390072
10.8%
)1390072
10.8%
2636980
 
4.9%
3617675
 
4.8%
4596219
 
4.6%
5564112
 
4.4%
6530418
 
4.1%
-494718
 
3.8%
Other values (7)1653541
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII12923334
100.0%

Most frequent character per block

ValueCountFrequency (%)
12636282
20.4%
,2413245
18.7%
(1390072
10.8%
)1390072
10.8%
2636980
 
4.9%
3617675
 
4.8%
4596219
 
4.6%
5564112
 
4.4%
6530418
 
4.1%
-494718
 
3.8%
Other values (7)1653541
12.8%

Corner2
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.6 MiB
4
180141 
2
137510 
3
19547 
0
 
1394

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters338592
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4
ValueCountFrequency (%)
4180141
53.2%
2137510
40.6%
319547
 
5.8%
01394
 
0.4%
Histogram of lengths of the category
ValueCountFrequency (%)
4180141
53.2%
2137510
40.6%
319547
 
5.8%
01394
 
0.4%

Most occurring characters

ValueCountFrequency (%)
4180141
53.2%
2137510
40.6%
319547
 
5.8%
01394
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number338592
100.0%

Most frequent character per category

ValueCountFrequency (%)
4180141
53.2%
2137510
40.6%
319547
 
5.8%
01394
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common338592
100.0%

Most frequent character per script

ValueCountFrequency (%)
4180141
53.2%
2137510
40.6%
319547
 
5.8%
01394
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII338592
100.0%

Most frequent character per block

ValueCountFrequency (%)
4180141
53.2%
2137510
40.6%
319547
 
5.8%
01394
 
0.4%

Syukaisu2
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.6 MiB
1
329602 
2
 
7596
0
 
1394

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters338592
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1329602
97.3%
27596
 
2.2%
01394
 
0.4%
Histogram of lengths of the category
ValueCountFrequency (%)
1329602
97.3%
27596
 
2.2%
01394
 
0.4%

Most occurring characters

ValueCountFrequency (%)
1329602
97.3%
27596
 
2.2%
01394
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number338592
100.0%

Most frequent character per category

ValueCountFrequency (%)
1329602
97.3%
27596
 
2.2%
01394
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common338592
100.0%

Most frequent character per script

ValueCountFrequency (%)
1329602
97.3%
27596
 
2.2%
01394
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII338592
100.0%

Most frequent character per block

ValueCountFrequency (%)
1329602
97.3%
27596
 
2.2%
01394
 
0.4%

Jyuni2
Categorical

HIGH CARDINALITY
UNIFORM

Distinct29023
Distinct (%)8.6%
Missing1394
Missing (%)0.4%
Memory size2.6 MiB
(*5,7)10(3,9,15)(4,12,17)(11,16)14(18,6)(8,1)(2,13)
 
18
(*6,7)18(2,3,14)(4,8,13,17,10)(1,5,12,15)(9,16,11)
 
18
6(7,8)-(3,9)=1(10,16)2(12,13)(4,5)14(18,11)15-17
 
18
10,13,18(3,5)11,2,16,7(1,15)-4(8,6,14)-12-17-9
 
18
(*6,11,14)16(4,18)(2,9,5)1(7,12,10)15,17,13-8 3
 
18
Other values (29018)
337108 

Length

Max length57
Median length40
Mean length38.39400293
Min length9

Characters and Unicode

Total characters12946381
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row(*16,6)-1(2,9)(5,8,12,15)14(3,4)(10,11)-(7,13)
2nd row8(1,9)5,13(4,12)(2,7,14)(6,10,11)-3
3rd row8,6(1,7)(2,4)-(5,9)3
4th row(11,*17)(12,13,18)(8,10)5(2,7)(3,9)16(1,14,15)(6,4)
5th row(*16,6)-1(2,9)(5,8,12,15)14(3,4)(10,11)-(7,13)
ValueCountFrequency (%)
(*5,7)10(3,9,15)(4,12,17)(11,16)14(18,6)(8,1)(2,13)18
 
< 0.1%
(*6,7)18(2,3,14)(4,8,13,17,10)(1,5,12,15)(9,16,11)18
 
< 0.1%
6(7,8)-(3,9)=1(10,16)2(12,13)(4,5)14(18,11)15-1718
 
< 0.1%
10,13,18(3,5)11,2,16,7(1,15)-4(8,6,14)-12-17-918
 
< 0.1%
(*6,11,14)16(4,18)(2,9,5)1(7,12,10)15,17,13-8 318
 
< 0.1%
(*9,10)12(5,6)16,11(14,18)(15,8)(1,7)(13,17)2,3=418
 
< 0.1%
1(3,14)(6,17)(9,7,13,16)(2,11,5,12,15)-18-(8,10)=418
 
< 0.1%
(14,*15)(7,18)(5,13)6(1,11)(2,4)(10,9)3,8,12=16 1718
 
< 0.1%
(1,*10)11(5,9,8,15)(6,13,14)(2,12,17)7(3,4,18)=1618
 
< 0.1%
1,3(2,9)(5,12)(16,14,15)-(6,11,18)(4,8,17)10-13=718
 
< 0.1%
Other values (29013)337018
99.5%
(Missing)1394
 
0.4%
Histogram of lengths of the category
ValueCountFrequency (%)
11729
 
0.5%
71643
 
0.5%
111627
 
0.4%
91612
 
0.4%
31561
 
0.4%
81514
 
0.4%
21499
 
0.4%
101490
 
0.4%
61488
 
0.4%
51478
 
0.4%
Other values (29148)346528
95.7%

Most occurring characters

ValueCountFrequency (%)
12636282
20.4%
,2412010
18.6%
(1411680
10.9%
)1411680
10.9%
2636980
 
4.9%
3617675
 
4.8%
4596219
 
4.6%
5564112
 
4.4%
6530418
 
4.1%
-456888
 
3.5%
Other values (7)1672437
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number6997001
54.0%
Other Punctuation2523431
 
19.5%
Open Punctuation1411680
 
10.9%
Close Punctuation1411680
 
10.9%
Dash Punctuation456888
 
3.5%
Space Separator74913
 
0.6%
Math Symbol70788
 
0.5%

Most frequent character per category

ValueCountFrequency (%)
12636282
37.7%
2636980
 
9.1%
3617675
 
8.8%
4596219
 
8.5%
5564112
 
8.1%
6530418
 
7.6%
7382919
 
5.5%
8374733
 
5.4%
9332260
 
4.7%
0325403
 
4.7%
ValueCountFrequency (%)
,2412010
95.6%
*111421
 
4.4%
ValueCountFrequency (%)
(1411680
100.0%
ValueCountFrequency (%)
)1411680
100.0%
ValueCountFrequency (%)
-456888
100.0%
ValueCountFrequency (%)
=70788
100.0%
ValueCountFrequency (%)
74913
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common12946381
100.0%

Most frequent character per script

ValueCountFrequency (%)
12636282
20.4%
,2412010
18.6%
(1411680
10.9%
)1411680
10.9%
2636980
 
4.9%
3617675
 
4.8%
4596219
 
4.6%
5564112
 
4.4%
6530418
 
4.1%
-456888
 
3.5%
Other values (7)1672437
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII12946381
100.0%

Most frequent character per block

ValueCountFrequency (%)
12636282
20.4%
,2412010
18.6%
(1411680
10.9%
)1411680
10.9%
2636980
 
4.9%
3617675
 
4.8%
4596219
 
4.6%
5564112
 
4.4%
6530418
 
4.1%
-456888
 
3.5%
Other values (7)1672437
12.9%

Corner3
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.6 MiB
0
181535 
3
137510 
4
19547 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters338592
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0181535
53.6%
3137510
40.6%
419547
 
5.8%
Histogram of lengths of the category
ValueCountFrequency (%)
0181535
53.6%
3137510
40.6%
419547
 
5.8%

Most occurring characters

ValueCountFrequency (%)
0181535
53.6%
3137510
40.6%
419547
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number338592
100.0%

Most frequent character per category

ValueCountFrequency (%)
0181535
53.6%
3137510
40.6%
419547
 
5.8%

Most occurring scripts

ValueCountFrequency (%)
Common338592
100.0%

Most frequent character per script

ValueCountFrequency (%)
0181535
53.6%
3137510
40.6%
419547
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII338592
100.0%

Most frequent character per block

ValueCountFrequency (%)
0181535
53.6%
3137510
40.6%
419547
 
5.8%

Syukaisu3
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.6 MiB
0
181535 
1
140138 
2
 
16534
3
 
385

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters338592
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0181535
53.6%
1140138
41.4%
216534
 
4.9%
3385
 
0.1%
Histogram of lengths of the category
ValueCountFrequency (%)
0181535
53.6%
1140138
41.4%
216534
 
4.9%
3385
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0181535
53.6%
1140138
41.4%
216534
 
4.9%
3385
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number338592
100.0%

Most frequent character per category

ValueCountFrequency (%)
0181535
53.6%
1140138
41.4%
216534
 
4.9%
3385
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common338592
100.0%

Most frequent character per script

ValueCountFrequency (%)
0181535
53.6%
1140138
41.4%
216534
 
4.9%
3385
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII338592
100.0%

Most frequent character per block

ValueCountFrequency (%)
0181535
53.6%
1140138
41.4%
216534
 
4.9%
3385
 
0.1%

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

LapTime12LapTime13LapTime14LapTime15LapTime16LapTime17LapTime18SyogaiMileTimeHaronTimeS3HaronTimeS4HaronTimeL3_yHaronTimeL4Corner1Syukaisu1Jyuni1Corner2Syukaisu2Jyuni2Corner3Syukaisu3
00000000033544835746831(*16,6)(1,9)(2,8,12)(5,14,15)-(3,4)10(7,11)1341(*16,6)-1(2,9)(5,8,12,15)14(3,4)(10,11)-(7,13)00
10000000034445835246431(*8,9)(1,12,13)5(4,14)(7,11)10(2,6)-3418(1,9)5,13(4,12)(2,7,14)(6,10,11)-300
200000000340455356468318,6(1,7)-(2,4)-9(5,3)418,6(1,7)(2,4)-(5,9)300
3000000003404603614763117,11(12,13)18(8,10)(5,7)2(3,9,16)(1,14,15)-6,441(11,*17)(12,13,18)(8,10)5(2,7)(3,9)16(1,14,15)(6,4)00
40000000033544835746831(*16,6)(1,9)(2,8,12)(5,14,15)-(3,4)10(7,11)1341(*16,6)-1(2,9)(5,8,12,15)14(3,4)(10,11)-(7,13)00
50000000033645335646731(*12,9)11(1,8,13,15)7(10,16)2(4,3,6)5,1441(*12,9)11(1,13,15)8(10,16)(7,3,6)2(5,4)1400
600000000343459355469318(11,14)(1,9)(5,12)(2,7)(6,13)10(3,4)418(11,14)(1,9)(5,12)(2,7)(6,13)10-(3,4)00
7000000003444563394513116(13,14,15)(6,7,11,12)(5,2,9)10(1,4,8)34116,15(13,14)(6,7,11)12,2(5,9)(1,10)(4,8)300
800000000343459356468319-(13,16)(4,7,11,14)(3,6,8,12)(1,5)(2,10)-15419(13,16)(7,14)11(4,6,12)(3,8,1,5)(2,10)=1500
90000000033545136347331(1,*14,15)(4,16,17)(9,11)13(3,12,10)8-5,7,6 241(1,*14)15,16(11,17)(4,3,13)(9,12)(8,10)5-6,7 200

Last rows

LapTime12LapTime13LapTime14LapTime15LapTime16LapTime17LapTime18SyogaiMileTimeHaronTimeS3HaronTimeS4HaronTimeL3_yHaronTimeL4Corner1Syukaisu1Jyuni1Corner2Syukaisu2Jyuni2Corner3Syukaisu3
33858200000000340455352467312(9,17)(5,15,16)4-7,12(3,8,10)6,14(13,1)11412,5,9(15,17)16,8(3,4)12(14,7)(6,10)(11,1)1300
33858300000000340455352467312(9,17)(5,15,16)4-7,12(3,8,10)6,14(13,1)11412,5,9(15,17)16,8(3,4)12(14,7)(6,10)(11,1)1300
3385840000000033644734945931(1,*13)-(2,17)(3,11)(4,5,14)(6,8)7(10,15)(9,16)-1241(*1,13)-(3,2)(17,11)(5,14)(4,6,8)-10(15,7)(9,16)-1200
338585000000003594833634801115,7(4,10,17)(3,5,18)14(11,12,16)(1,13)(6,8)2,92115,7(4,10,17)(5,18)3(6,11,12,14)(1,16)(8,13)(9,2)31
33858600000000341462359464313(4,6)(1,11)(2,10)14,12(8,9,13)(5,7)413(4,6)1(2,11)-(8,12,10)14(9,13)(5,7)00
33858700000000337452349460311(2,9)(3,4,10)(7,11)(5,8)6411(7,2)(3,9)(4,10)(11,8)5,600
33858800000000358476350468111(2,8)(4,5,6,9)11-12,3(7,10)211,2(4,8)5(6,9)11-12(3,10)731
33858900000000337452351463317,17,9(3,14)10(6,13)(1,11,5)15,4(2,8)-16=12417(9,17)(3,14)6,10,11(5,13)1(15,16)4(2,8)=1200
33859000000000363491362486111,13,3,4(6,7)9(8,10)(11,12)5,2211(3,13)(4,7)(6,10,9)(11,8)12,5-231
3385910000000038151235647911(*4,5)(2,9)(14,10)(1,3,8,12)(6,7)11-(13,16)15214,5(2,9)(1,14,10)(8,7,12)3(6,11)(13,16)1531

Duplicate rows

Most frequent

LapTime12LapTime13LapTime14LapTime15LapTime16LapTime17LapTime18SyogaiMileTimeHaronTimeS3HaronTimeS4HaronTimeL3_yHaronTimeL4Corner1Syukaisu1Jyuni1Corner2Syukaisu2Jyuni2Corner3Syukaisu3count
2118000000003244363544603110-18,2-8(7,14)5(4,9,13)(3,17)(1,11,15)(6,12)164110,18-2-(5,8,7,14)(4,9,13)3(1,17)11(6,15)(16,12)0018
2282000000003304433464553111(8,15)5(3,10,17)(7,14)(1,9,13)12(4,2)6-16 1841(*11,8,15)(5,3,10)(7,9)17(1,2,14)13,12,4,6-16 180018
23170000000033044635646331(*9,18)-(2,16)(6,14)(4,8,11,13)(3,7,10)1,12-(5,17)15419,18-2(6,16)(8,14)(4,13)11(3,10)(1,7)12-(5,17)-150018
23530000000033144434545431(*4,5,10)(11,12)(6,7,13)(17,18)(2,9,14)(3,8)15,1=1641(*4,5,10)(11,12)(6,7,13)(17,18)(9,14)-3,8(2,15)1=160018
23820000000033144635946831(*3,10)(4,11,14)18(6,13)(9,12,16)15(1,7)(5,8,17)241(3,*10)4(6,11,14,18)13(9,12,15)(16,7)(5,1)(8,17)20018
2434000000003324463414523115,10,4(3,13)(2,6,9)(14,17)(5,12)7,16(1,8)18,114115(4,10,13)(3,6,9)(2,5,14)7(12,17)(8,16)(1,11,18)0018
24590000000033244735546531(6,*4)-9(1,12)2(3,7,18)(8,11,15,17)13(10,16)(14,5)414-6,9(1,12)2(3,18)(8,7,11,15,17)(13,10)16(14,5)0018
25660000000033344835246031(6,*9)-(10,11)(2,5)(3,15)(1,16)17,7(8,14)(4,12,18)1341(*6,9)=(2,10)(5,11)(3,15)1,17,16,14(4,7)(12,8,18)130018
25690000000033344835446431(*1,7)(8,10)(4,5,16)14(3,2,12,15)(6,9,17)18(11,13)41(1,*7,8)(4,10)(3,2,5,16)(6,14,15)(12,17)(11,9,13,18)0018
2651000000003344473434533113,15(6,8,11,17)(10,14)2(9,12)(1,4)(5,7)3,18-164113(6,15)(8,11,17)(2,10,14)9,12,1(3,5,4)7-(16,18)0018